Parrot is a multi-language and multi-modal large language model capable of achieving excellent performance.
For a comprehensive introduction, please refer to
Parrot Paper
and
Parrot GitHub
.
Model Details
Performance
Usage
Below is a code snippet to run Parrot with multimodal inputs. For additional usage instructions, including inference wrapper and Gradio UI, please refer to
Parrot GitHub
.
import torch
from PIL import Image
from transformers import AutoModelForCausalLM
Citation
If you find Parrot useful, please cite the paper
@article{sun2024parrot,
title={Parrot: Multilingual Visual Instruction Tuning},
author={Sun, Hai-Long and Zhou, Da-Wei and Li, Yang and Lu, Shiyin and Yi, Chao and Chen, Qing-Guo and Xu, Zhao and Luo, Weihua and Zhang, Kaifu and Zhan, De-Chuan and others},
journal={arXiv preprint arXiv:2406.02539},
year={2024}
}
License
The project is licensed under Apache License Version 2.0 and is restricted to uses that comply with the license agreements of Qwen and Clip.
Runs of AIDC-AI Parrot-14B on huggingface.co
11
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
-14
30-day runs
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